Borrowing it
Nothing to install: this file belongs to geekjourneyx/geekx-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/geekjourneyx/geekx-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/geekjourneyx/geekx-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/geekjourneyx/geekx-skills/agents-md)<a href="https://agentmods.dev/instructions/geekjourneyx/geekx-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/geekjourneyx/geekx-skills/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/geekjourneyx/geekx-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/geekjourneyx/geekx-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01524 | $0.01524 |
| Opus 5.5 | $0.00610 | $0.00610 |
| Sonnet 5.5 | $0.00305 | $0.00305 |
| Haiku 4.5 | $0.00152 | $0.00152 |
Grade A, and why
geekx-skills AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
智能体指令
适用范围
这些指令适用于整个仓库。
仓库规则
skills/下的每个技能目录都必须以geekx-开头。- 每个技能目录都必须包含
SKILL.md。 - 每个
SKILL.md的name字段必须与目录名一致。 - 每个技能都必须包含
skills/<skill-name>/evals/evals.json。 - 技能文件必须聚焦。只有当
references/或scripts/能减少重复工作时才添加。 - 除非技能本身明确绑定某个运行时,否则不要加入运行时专属措辞。
SKILL.md的描述、正文和评测说明默认使用中文;目录名、name、命令、工具名和固定协议值保持原样。- 不要添加
review、writer、scope-review这类泛名。
技能创建规则
每次新增或修改技能,都必须使用 skill-creator 工作流:
- 明确技能意图、触发条件、预期输出和成功标准。
- 写出最小可用的
SKILL.md。 - 在认为技能完成前,添加真实可用的评测提示。
- 尽量让评测预期可检查。
- 保持技能正文简洁,把厚重材料移到
references/。 - 新增、删除或改名技能时,同步更新 README 的「可用技能」表格。
缺少评测提示的技能不能合并。
Darwin 审查规则
发布前,以及每次有实质性技能改动后,都必须使用 darwin-skill 审查纪律:
- 执行运行时中立性扫描。
- 从 frontmatter、工作流清晰度、失败分支、检查点、具体性、资源集成、架构、真实输出风险、反模式覆盖等维度评分。
- 先修复 P0 级运行时漂移,再做其他优化。
- 每次编辑优先只改进一个维度。
- 当技能可能被拉偏时,添加明确失败分支。
- 根据验证结果保留或回滚,不根据个人偏好判断。
- 当下一次编辑只是在加字、没有改善行为时停止。
文档规则
- README 和技能文档必须简洁。
- README 默认使用中文;品牌名、命令、链接和机器标识保持原样。
- 删除泛泛而谈的宣传、填充语和自我解释。
- 优先写可执行命令和硬约束,少写解释。
- 版本号以
package.json为唯一来源;根目录VERSION必须与其一致。 - 每次发布都必须更新
CHANGELOG.md。 - 发布流程只放在
AGENTS.md,README 只面向使用者。
可视化进度大盘与状态同步
- 对多步骤、跨阶段,或需要用户持续掌握全局的任务,维护一个可直接在浏览器打开的单文件 HTML 进度大盘;优先自包含、离线可用,不要求额外构建步骤。
- 大盘以阅读体验和直观表达为先:少字去噪,优先使用任务看板、图表、流程图和适量 SVG。只有确实能降低理解或决策成本时才添加可视化。
- 看板应能点击查看任务详情,明确展示规划中、进行中、已完成、阻塞等状态;让用户快速看懂进度、风险、验证情况和下一步。
- 每次阶段性任务完成后,及时更新同一份大盘和当天进展;不要等到整个项目结束才补写。无需为每个微小动作重复创建页面。
- 大盘中的状态必须与真实代码、交付物和验证结果一致。重要任务应附可追溯证据,例如文件、测试结果、提交、PR 或报告链接;明确区分已实现与已验证。
- 当需求、优先级、技术路线或范围发生变化时,同步更新持久化开发计划和大盘,并记录变更内容、原因、影响、决策依据及后续动作。
- 计划用于记录完整决策与工作状态,大盘用于快速掌握全局;两者必须保持一致。出现冲突时,先核对仓库现实和最新证据,再校准计划与大盘。
- 简单、一次性且无需持续跟踪的任务不必强行制作大盘。
文档防漂移规则
- README 的「可用技能」表格必须与
skills/目录一致。 - README 不要写死当前版本号、发布步骤、标签命令或内部审查流程。
- AGENTS 是维护者规则的唯一入口;不要把同一条发布规则复制到 README。
CHANGELOG.md只记录真实历史变更,不为了“当前命名”改写旧版本事实。VERSION、package.json和package-lock.json的版本号必须一致。- 改名技能时,必须同时更新目录名、
SKILL.md的name、evals/evals.json的skill_name、README 表格和变更日志。 - 每次文档或技能改动后,至少运行
npm run check:release。
发布流程
每次发布前都必须执行以下流程:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago Changed · +11 lines · +367 tokens per session ad57b77b20be
- 1mo ago First seen · 87 lines · 1,157 tokens per session scan A 5b77a774d720
geekx-skills AGENTS.md is an instructions file published in the GitHub repository geekjourneyx/geekx-skills (23 stars, last pushed 4d ago), licensed MIT. It adds 1,524 tokens to every session, about $0.0061 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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